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Updated: Oct 28, 2026

Profiling Volatile Compounds in Blackcurrant Fruit using Headspace Solid-Phase Microextraction Coupled to Gas Chromatography-Mass Spectrometry
Published on: June 9, 2021
Developmental-envelope screening and genome-annotation audit prioritize chemical authenticity candidates in
Wenkai Duan1, Zhenxun Wei1, Wenli Gao1
1Hangzhou Polytechnic University, Hangzhou 310018, China.
Abstract:
Commercial driedRubus chingii (Chinese raspberry) fruit is traded by producing region, but unknown harvest maturity can generate compositional ranges that resemble provenance differences. We characterised nine producing-location groups using HS-SPME-GC-MS, LC-MS/MS, amino-acid analysis, electronic-nose sensing and report-derived electronic-tongue outputs, and then applied two sequential evidence gates: developmental-envelope screening of chemical candidates and species-specific annotation auditing of chemistry-linked gene families. The resource contained 124 volatile rows, 318 putatively annotated LC-MS/MS rows, 17 quantified amino acids and 14 electronic-nose channels. In an independent public dataset of 24 fresh-fruit samples (six per stage), 20 of 21 metabolites were stage-resolved and all 11 cross-dataset overlaps were stage-sensitive. The observed four-stage envelope covered the complete nine-location range for eight overlaps. Gallic acid and ellagic acid retained positive range excess in 8/9 and 9/9 leave-one-location-out analyses and exceeded the 95th percentile in all three moderate drying scenarios, defining Tier 1 validation candidates. Kaempferol 3-O-glucoside was retained in 9/9 analyses but exceeded that scenario threshold in 1/3 settings, defining Tier 2. Whole-proteome screening identified 178 PF00201 UGT candidates, recovered all 172 previously catalogued RchUGTs and added six profile-defined candidates; 32 TPS candidates had motif support. Comparative analysis in R. idaeus and R. occidentalis independently supported re-curation of the LG03.2235 boundary, whereas LG02.1599 remained consistent with a single homologous model. This two-gate workflow converts missing maturity metadata and incomplete genome labels into explicit validation priorities without presenting the candidates as established origin markers, causal regulators or enzyme assignments.

